Tag: hydrogel

  • Machine learning generates custom enzymes

    Machine learning generates custom enzymes

    Today we report in Nature [PDF] the computational design of highly efficient enzymes unlike any found in nature. Laboratory testing confirms that the new light-emitting enzymes, called luciferases, can recognize specific chemical substrates and catalyze the emission of photons very efficiently. This is an important step in the field of protein design as enzymes have many uses…

  • NBC: “Scientists use new A.I. tech to fight diseases”

    NBC: “Scientists use new A.I. tech to fight diseases”

    NBC News Now recently covered how we are using artificial intelligence to accelerate protein science. From NBC News Now A group of researchers at the University of Washington is harnessing artificial intelligence to improve how scientists develop proteins for medicines and vaccines. NBC’s Dr. Akshay Syal has a closer look at the potential medical breakthrough.

  • New York Times: “A.I. Turns Its Artistry to Creating New Human Proteins”

    New York Times: “A.I. Turns Its Artistry to Creating New Human Proteins”

    The New York Times recently wrote about one of our latest preprints. In it, we introduce a generative diffusion model for protein design called RFdiffusion. [Update: This research was subsequently published in Nature, and RFdiffusion is now free and open source.] From the New York Times: Last spring, an artificial intelligence lab called OpenAI unveiled…

  • To improve a cytokine mimic, cut it in half

    To improve a cytokine mimic, cut it in half

    This week we reported in Nature Biotechnology the design of a conditionally active mimetic of IL-2 that reduces the toxicity of systemic cytokine therapy. This work builds on our prior efforts to create functional interleukin mimics with reduced toxicity. We first described Neoleukin-2/15 (Neo-2/15) in 2019. This compact protein reproduces the immunostimulatory function of IL-2…

  • ProteinMPNN excels at creating new proteins

    ProteinMPNN excels at creating new proteins

    Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design. In the new papers, we show that machine learning can be used to create proteins much more accurately and quickly than previously possible. This could lead to many new vaccines, treatments,…

  • Design of permeable peptides leads to new spinout (Vilya)

    Design of permeable peptides leads to new spinout (Vilya)

    Researchers at the Institute for Protein Design have discovered how to create peptides that slip through membranes and enter cells. This drug design breakthrough may lead to new medications for a wide variety of health disorders, including cancer, infection, and inflammation. This research appears in the journal Cell [PDF]. Gaurav Bhardwaj, Adam Moyer, Naozumi Hiranuma,…

  • Lab retreat at Pack Forest

    Lab retreat at Pack Forest

    Many members of the lab recently gathered at the Pack Forest Center in Eastonwille, Washington for three days of dining, hiking, and fun. The weather was hot — but that didn’t stop us from celebrating our time together and enjoying our beautiful state!

  • Training A.I. to generate medicines and vaccines

    Training A.I. to generate medicines and vaccines

    Today we report in Science [PDF] the development of artificial intelligence software that can create proteins that may be useful as vaccines, cancer treatments, or even tools for pulling carbon pollution out of the air. This project was led by Jue Wang, Doug Tischer, and Joseph L. Watson, who are postdoctoral scholars at UW Medicine, as well as Sidney Lisanza and David Juergens,…